Machine Learning Scientist
cartesiansystems · Cambridge, MA
- Posted
- 5 days ago
- Last confirmed live
- 2 days ago
What this role involves
Cartesian is building spatial intelligence for indoor environments, focusing on in-store inventory visibility for retail. The Machine Learning Scientist role involves designing and deploying ML models for indoor positioning and perception, optimizing architectures, and collaborating with engineering and product teams. The position requires a PhD in a related field, deep experience with time-series ML models, and publications in top venues, with a preference for startup experience and mobile deployment expertise.
Skills this posting asks for
- machine learning
- time-series data
- transformer-based architectures
- probabilistic models
- state estimation
- computer vision
- multi-sensor fusion
- 2d/3d perception
- pose estimation
- tracking
- slam
- wireless localization
- radar signal processing
- cloud-based model training
- inference
- mobile environments
- production code
- python
- pytorch
- tensorflow
Requirements
- Level: mid
- Remote policy: onsite
From the employer’s posting
About the Company Cartesian is building spatial intelligence for indoor environments to drive operational efficiency. We’re tackling one of the biggest challenges in the $35T global…
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